Spectrum Sensing of Cognitive Radio Network Under Linear Combination of Gaussian Random Variables

dc.contributor.author	D’ Costa, John
dc.contributor.author	Nazimuzzaman, Muhammad
dc.date.accessioned	2015-12-04T03:36:14Z
dc.date.available	2015-12-04T03:36:14Z
dc.date.issued	9/21/2014
dc.identifier.uri	http://dspace.ewubd.edu/handle/2525/1521
dc.description	This thesis submitted in partial fulfillment of the requirements for the degree of Masters of Science in Applied Physics and Electronics of East West University, Dhaka, Bangladesh	en_US
dc.description.abstract	In this project work we studied the Spectrum Sensing techniques for Cognitive Radio (CR) and derived Probability of Detection (PD) and Probability of False Alarm (PF) of a Cognitive Radio Network (CRN). Here we considered the test statistics as the weighted sum of the Gaussian random variables where the weighting factor depends on the eigenvalues of covariance matrix of Multiple-Input-Multiple-Output (MIMO) channel with Additive White Gaussian Noise (AWGN). We calculated PD and PF by changing channel parameters like number of sample values to find the threshold Signal-to-Noise Ratio (SNR) within condition PD above 80% and PF less than 8%.	en_US
dc.language.iso	en_US	en_US
dc.publisher	East West University	en_US
dc.relation.ispartofseries	;ECE00039
dc.subject	Spectrum Sensing techniques for Cognitive Radio	en_US
dc.title	Spectrum Sensing of Cognitive Radio Network Under Linear Combination of Gaussian Random Variables	en_US
dc.type	Thesis	en_US